Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2024.2353543
Medical image registration with object deviation estimation through motion vectors using octave and level sampling
P. Nagarathna
; Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India
Azra Jeelani
; Department of Electronics and Communication Engineering, School of Engineering, Presidency University, Bangalore, Karnataka, India
Samreen Fiza
; Department of Electronics and Communication Engineering, School of Engineering, Presidency University, Bangalore, Karnataka, India
*
G. Tirumala Vasu
; Department of Electronics and Communication Engineering, School of Engineering, Presidency University, Bangalore, Karnataka, India
Koteswararao Seelam
; Department of Electronics and Communication Engineering, Kallam Haranatha Institute of Technology, Guntur, Andhra Pradesh, India
* Dopisni autor.
Sažetak
Medical image analysis presents a significant problem in the field of image registration. Recently,
medical image registration has been recognized as a helpful tool for medical professionals. Current state-of-the-art approaches solely focus on source image registration and lack quantitative
measurement for object deviation in terms of loosening, subsidence and anteversion related to
surgery. In this article, we have provided motion vectors for recognizing the object deviation, in
addition to detecting and selecting the feature points. Firstly, the feature points will be detected
using Hessian matrix determinants and octave and level sampling. Then the strongest feature
points are selected which will be utilized for identifying the object deviation with respect to the
reference image through motion vectors. The objective of this work is to combine image registration and temporal differencing to achieve independent motion detection. In comparison to
state-of-the-art approaches, the proposed methodology achieves higher Information Ratio (IR),
Mutual Information Ratio (MIR) and their lower bounds for image registration.
Ključne riječi
Medical image registration; feature point detection; feature point selection; motion estimation; motion vectors; differential operators
Hrčak ID:
326274
URI
Datum izdavanja:
22.5.2024.
Posjeta: 0 *